Balancing two-sided U-type assembly lines using modified particle swarm optimization algorithm
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Abstract
In this paper, a new two-sided U-type assembly line balancing (TUALB) procedure and a new algorithm based on the particle swarm optimization algorithm to solve the TUALB problem are proposed. The proposed approach minimizes the number of stations for a given cycle time as the primary objective and it minimizes the number of positions as a secondary objective. The proposed approach is illustrated with an example problem. In order to evaluate the efficiency of the proposed algorithm, the test problems available in the literature are used. The experimental results show that the proposed approach performs well.
Keywords
Two-sided assembly line balancing U-type assembly lines Particle swarm optimizationMathematics Subject Classification
90B30 90C59Notes
Acknowledgments
The authors would like to thank the referees for their careful review of the paper and their helpful comments and suggestions which greatly improved the paper. This research was supported by the Erciyes University Scientific Research Projects Grand Number SDK-2013-4636.
Compliance with ethical standards
Conflict of interest
No potential conflict of interest was reported by the authors.
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